Basic Network Analysis Python

Question

I have an intermediate level of python and have used it before to plot some pretty nice graphs for academic purposes. Recently I ended up with a nice DF of agreements between regulators and want to create a Network graph but it seems a little more complicated than I thought.

Party = Nodes

Edge = Agreements (type)

The idea is to identify the centrality of the Parties (John, for example, may have many agreements with different parties while Mary, only once but with two parties) and to display different types of agreements with a different colors.

My data frame is more or less like this:

YEAR	PARTIES	TYPE OF AGREEMENT
2005	John, Ann	Complex Agreement
2010	John, Mary, Rupert	Crossfunctional Agreement
….	…	…

Any ideas/suggestions?

Asked By: Fernando Luis Barroso da Silva

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Source

Answer 1

This might get you going.

from itertools import combinations
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd

df = pd.DataFrame(
    {
        "YEAR": [2005, 2010],
        "PARTIES": ["John, Ann", "John, Mary, Rupert"],
        "TYPE OF AGREEMENT": ["Complex Agreement", "Crossfunctional Agreement"],
    }
)

df["PARTIES"] = df["PARTIES"].str.split(", ")

graph = nx.MultiGraph()

for ix, row in df.iterrows():
    for combo in combinations(row["PARTIES"], 2):
        graph.add_edge(*combo, year=row["YEAR"], type=row["TYPE OF AGREEMENT"])

nx.draw(graph, with_labels=True)
plt.savefig("graph.png")

saves a PNG like this:

You can refer to the Networkx docs for e.g. the centrality metrics and how to style and label edges better.

Answered By: AKX

Basic Network Analysis Python

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